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Qu Lu

1 accepted papers

2023

Improving Few-Shot Learning for Talking Face System with TTS Data Augmentation

ICASSP 2023accepted

Audio-driven talking face has attracted broad interest from academia and industry recently. However, data acquisition and labeling in audio-driven talking face are labor-intensive and costly. The lack of data resource results in poor synthesis effect. To alleviate this issue, we propose to use TTS (…

Cited by 0SourceScholar